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Record W2579104354 · doi:10.3968/9140

On the Emergence of a Splitting Negator in Yoruba

2016· article· en· W2579104354 on OpenAlexvenueno aff
Mayowa Emmanuel Oyinloye

Bibliographic record

VenueCross-cultural communication · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsYorubaLexiconLinguisticsAmbiguityStatement (logic)Class (philosophy)Context (archaeology)Interpretation (philosophy)PhenomenonPsychologySociologyComputer scienceHistoryEpistemologyArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Relatively recently, a new negator, “Abi...ni”, emerged in the conversational language of the younger generation of Yoruba speakers. This new linguistic form is termed in this paper as “splitting negator”, owing to the observation that it consists of two particles that are structurally circumfixed with a positive statement. The paper therefore attempts a syntactic cum semantic analysis of this lexical item in order to ascertain whether or not it should be “officially” admitted into the Yoruba lexicon. The data analysed in this study were obtained via researcher’s observation and supplemented by introspective method since the researcher also belongs to the social class of speakers who predominantly use the phenomenon under investigation. Among others, the study fundamentally establishes that this splitting negator is idiomatic as an isolated form and that it often expresses pragmatic ambiguity when it is used in discourse such that it is the context of use that normally determines its interpretation. The paper concludes by proposing that “Abi...ni” be granted linguistic license as a negator in Yoruba, as this will not only encourage lexicon expansion but will also serve as a new stylistic medium of expressing the opposite of a positive statement in the language.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.344
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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